East African Portland CementSmarter Plants. Lower Waste. Stronger Margins.

The audit identified a multi-billion shilling value pool across EAPC's operations. Applying AI across maintenance, process control, energy, planning, logistics, quality and sustainability can unlock significant cost savings, revenue uplift and margin expansion while reducing environmental impact.

The primary outcome sought is sustainable growth, efficiency and profitability — not cost-cutting alone. AI drives measurable impact across the full value chain, with rapid ROI concentrated in maintenance and energy optimisation.

Sustainability and regulatory readiness are treated as commercial assets: lower emissions intensity strengthens competitive position with infrastructure buyers and lenders, not just with regulators.

Illustrative annual AI value by Year 5 is KSh 6.0B, made up of KSh 1.6B revenue uplift and KSh 3.2B cost savings, compounding to KSh 14.7B cumulative five-year value.

East Africa's cement demand is driven by infrastructure, housing, industrialisation and urbanisation. Kenya remains the largest cement market in the region, accounting for roughly 45–50% of total EAC consumption.

Regional demand is forecast to grow from 47.0 million tonnes in 2024 to 60.1 million tonnes by 2029 — a steady climb through 49.4Mt (2025E), 51.8Mt (2026E), 54.4Mt (2027E) and 57.2Mt (2028E).

Government infrastructure pipelines — roads, energy, affordable housing — and private construction activity continue to support growth. Rising energy costs, environmental regulation and competitive intensity are the pressure points for producers.

EAPC operates roughly 4.2 Mtpa of installed capacity with an estimated ~20% Kenyan market share, a strong national footprint and a sustainability focus. Its AI maturity is emerging — opportunities exist across the value chain.

Bamburi Cement leads on scale at ~6.5 Mtpa and ~30% share, with a strong distribution network and advancing digital and operational initiatives. Tanga Cement (~2.5 Mtpa, ~12%) is a regional player with local focus and emerging AI maturity.

ARM Cement (~1.2 Mtpa, ~6%) is growing capacity with local reach at an early stage of adoption, while other fragmented regional players account for ~2.6 Mtpa and ~32% collectively at early or emerging maturity.

AI is becoming the key differentiator in efficiency, cost leadership, quality, sustainability and customer responsiveness — in a commodity market, that is the whole of the competitive advantage.

Cement economics are dominated by energy, thermal efficiency and asset uptime. A single unplanned kiln stoppage destroys days of margin; a percentage point of thermal substitution recurs every day of the year.

Process control is the largest single lever: kiln and mill optimisation improves clinker quality and variability simultaneously, which reduces both cost and customer complaints.

Demand and logistics volatility is absorbed today by holding inventory and paying for expedited transport. Forecasting converts that buffer into working capital.

Emissions are a cost line, a licence-to-operate condition and increasingly a commercial requirement in tendered infrastructure work — three reasons to instrument them properly.

The illustrative five-year model builds from KSh 0.9B of total annual AI value in Year 1 to KSh 6.0B by Year 5, with revenue uplift growing from KSh 0.3B to KSh 1.6B and cost savings from KSh 0.6B to KSh 3.2B.

Cumulative AI value reaches KSh 14.7B by Year 5 (0.9 → 2.6 → 5.1 → 8.7 → 14.7), with EBITDA margin uplift building from +1.5pp to +10.0pp.

ROI on AI investment moves from 1.2x in Year 1 to 6.5x by Year 5 (1.2x, 2.1x, 3.4x, 4.8x, 6.5x).

Key assumptions: a base cement capacity of ~4.2 Mtpa, AI investment phased over three years at roughly KSh 2.0B – 2.5B capex, and energy cost escalation of around 6% per annum without optimisation.

Phase 1 (0–6 months) — Foundation: data foundations and connectivity, use case prioritisation, quick wins in maintenance and energy, and the governance and operating model.

Phase 2 (6–18 months) — Optimisation: scale predictive maintenance, process and kiln optimisation, energy management systems, and dashboards and decision support.

Phase 3 (18–36 months) — Scale and growth: demand forecasting and sales planning, logistics optimisation, quality vision systems, and advanced analytics and AI models.

Phase 4 (36+ months) — Ecosystem leadership: emissions and compliance intelligence, AI-enabled new business models, partner and ecosystem innovation, and continuous value reinvention.

EAPC is a nationally strategic manufacturer in a market where infrastructure delivery depends on domestic cement capacity being efficient, reliable and low-carbon.

AI is a strategic lever for EAPC to build greener plants, lower costs, grow market share and create long-term value for all stakeholders. The time to act is now — the value pool compounds for whoever instruments their operations first.